Build a 2026 AI-Powered Incident Postmortem Writer for Indian SRE Teams with Bun.js, Elysia.js, Grafana Loki, and Ollama: A Self-Hosted Tutorial

Why Indian SRE Teams Need AI Postmortems in 2026

Site Reliability Engineering in India has scaled massively by 2026. From Bangalore fintech unicorns to Hyderabad SaaS scaleups, on-call engineers face 3x more incidents than in 2023. Writing postmortems is mandatory—but it eats 2–4 hours per incident.

The fix? A self-hosted AI pipeline that pulls logs from Grafana Loki and drafts a blameless postmortem using a local Ollama model. You keep data inside your VPC, satisfy DPDP Act 2023 compliance, and ship docs in minutes.

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The 2026 Stack at a Glance

We use a lean, modern, edge-ready toolchain:

• Bun.js — all-in-one JS runtime, bundler, and test runner (3x faster than Node in 2026 benchmarks)
• Elysia.js — typed, ergonomic web framework for Bun
• Grafana Loki — log aggregation already running in most Indian SRE setups
• Ollama — self-hosted LLM (we use llama3.1:8b or qwen2.5:7b for Hindi-mixed logs)

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Step 1: Scaffold with Bun and Elysia

Install Bun (if not already) and create the project:

curl -fsSL https://bun.sh/install | bash
bun create elysia postmortem-ai
cd postmortem-ai
bun add @elysiajs/cors loki-client

Boot the server with a health route:

import { Elysia } from 'elysia'
import { cors } from '@elysiajs/cors'

const app = new Elysia()
  .use(cors())
  .get('/health', () => ({ ok: true, ts: new Date().toISOString() }))
  .listen(3000)

console.log('Postmortem AI on :3000')

Run it: bun run index.ts. You now have a 12KB-memory idle server.

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Step 2: Query Grafana Loki for Incident Logs

Most Indian teams already pipe Kubernetes and systemd logs to Loki. We add a helper to fetch a time-window:

import { Loki } from 'loki-client'

const loki = new Loki({ url: Bun.env.LOKI_URL! })

export async function getIncidentLogs(
  service: string,
  start: string,
  end: string
) {
  const q = `{service="${service}"} | json`
  const res = await loki.queryRange(q, start, end)
  return res.data.result.flatMap(r =>
    r.values.map(v => v[1])
  ).join('\n')
}

Tip: Use IST timestamps (+05:30) so on-call reads naturally align with your war-room clock.

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Step 3: Self-Hosted Summarization with Ollama

Install Ollama on your Bangalore bare-metal or Mumbai EC2:

curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3.1:8b

Add a local inference call—no API keys, no egress:

async function draftPostmortem(logs: string) {
  const sys = `You are an SRE co-pilot. Write a blameless postmortem in Markdown with: Summary, Impact, Root Cause, Timeline, Action Items. Use Indian English.`
  const r = await fetch('http://localhost:11434/api/generate', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      model: 'llama3.1:8b',
      prompt: `${sys}\n\nLOGS:\n${logs.slice(0, 12000)}`,
      stream: false
    })
  })
  const j = await r.json()
  return j.response
}

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Step 4: Wire the Endpoint

Combine Loki + Ollama into one POST route:

app.post('/postmortem', async ({ body }) => {
  const { service, start, end } = body as any
  const logs = await getIncidentLogs(service, start, end)
  const md = await draftPostmortem(logs)
  return { markdown: md, generatedAt: new Date().toISOString() }
})

Test it from your Pune office laptop:

curl -X POST localhost:3000/postmortem \
  -H 'content-type: application/json' \
  -d '{"service":"payments-api","start":"2026-01-12T08:00:00+05:30","end":"2026-01-12T09:30:00+05:30"}'

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Why This Matters for Indian Compliance

In 2026, the DPDP Act is fully enforced. Sending prod logs to US-hosted LLMs risks penalties. A self-hosted Ollama + Bun stack means:

• Log data never leaves your account
• No per-token billing in dollars
• Works offline during fiber cuts (common in tier-2 cities)

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Deploy and Scale

Bundle with Bun and ship as a sidecar in your cluster:

bun build index.ts --target bun --outfile pm.ai

Run behind your existing Traefik ingress with mTLS. For 50 engineers, an 8GB RAM node handles 20 concurrent drafts.

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Final Thoughts

By combining Bun.js speed, Elysia.js simplicity, Loki ubiquity, and Ollama sovereignty, Indian SRE teams in 2026 can turn 3 hours of writing into 3 minutes of review. Start small, self-host, and let your on-call finally sleep.

Build it this sprint. Your future incident self will thank you.